Volume 45 Issue 9
Sep.  2024
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Wenxiu XU, Xiaofeng MO, Xiangmin YANG, Silu YANG, Fan WU, Te LI. Application of Logistic Regression and Decision Tree Model in Prediction of Adverse Reactions of Iodinated Contrast Medium[J]. Journal of Kunming Medical University, 2024, 45(9): 70-75. doi: 10.12259/j.issn.2095-610X.S20240911
Citation: Wenxiu XU, Xiaofeng MO, Xiangmin YANG, Silu YANG, Fan WU, Te LI. Application of Logistic Regression and Decision Tree Model in Prediction of Adverse Reactions of Iodinated Contrast Medium[J]. Journal of Kunming Medical University, 2024, 45(9): 70-75. doi: 10.12259/j.issn.2095-610X.S20240911

Application of Logistic Regression and Decision Tree Model in Prediction of Adverse Reactions of Iodinated Contrast Medium

doi: 10.12259/j.issn.2095-610X.S20240911
  • Received Date: 2023-12-05
    Available Online: 2024-03-06
  • Publish Date: 2024-09-25
  •   Objective  Logistic regression and decision tree model were used to analyze the influencing factors of adverse reactions of iodine contrast agents.   Methods  The adverse reaction group consisted of 129 patients who underwent CT examination using ICM and had adverse reactions from January 2019 to August 2023 in Fuwai Yunnan Hospital. The control group consisted of 135 patients who did not have adverse reactions during the same period using ICM. The variables with statistical significance in the univariate analysis were incorporated into multi-factor Logistic regression and decision tree model to extract and analyze the influencing factors causing adverse reactions.   Results  Logistic regression showed that BMI, allergic history, and renal insufficiency were the influencing factors of ICM (P < 0.05). The prediction model was: Lggit (P) = 0.123×BMI+1.684×allergy history + 2.551×renal insufficiency −3.652. Decision tree analysis screened out three risk variables, including allergy history, renal insufficiency and ICM type, among which allergy history was the most important influencing factor.   Conclusion  Logistic regression and the decision tree model can predict the influencing factors of adverse reactions and transform the study into an active prediction to avoid adverse reactions, it has reference value for the safe drug use of patients.
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